# qtimltflite The qtimltflite plugin shows the LiteRT capabilities (load and run the LiteRT models) as a GStreamer plugin. This plugin does the following: - Accepts a tensor prepared by the preprocessing elements such as qtimlvconverter. - Produces the output tensor that's parsed by the postprocessing plugins such as qtimlvclassification, qtimlvdetection, qtimlvsegmentation, and qtimlvpose. - Uses the LiteRT library. - Uses the ION/DMA buffers allocated by the GstMLBufferPool custom buffer pool class through IOCTL commands to the kernel. The model and delegate usage is as follows: - To use a model, provide the absolute path of the model through the model property. After it's loaded, the model file provides the input and output capabilities: - Number of tensors - Dimensions - Type - If a delegate isn't specified, the plugin executes the model operations on CPU. - To select a different delegate, set the delegate property accordingly. For more information, see the [Table : Element properties for qtimltflite](https://docs.qualcomm.com/doc/80-70029-50/topic/qtimltflite.html#section-xp1-dk4-myb). GST BIN GstBuffer + GstMemory: Contains a single tensor Example: 1x513x513x3 + GstMemory: Next tensor and so on... + GstVideoMeta: Describes the raw data of a single tensor + GstVideoMeta: Meta for the next tensor entry + ... Qualcomm Open source ML pre-process plugin qtimltflite neural-network/tensors neural-network/tensors neural-network/tensors have the following common rules: dimensions: (GstArray) - format is tensor dimension values separated by ',' and marked with delimiters ‘<’ for beginning and ‘>’ for end. # Example-> < <5, 300, 300, 1>, <1, 1, 1000, 1> >##type: (string) {UINT8, INT8, UINT16, INT16, UINT32, INT32, UINT64, INT64, FLOAT32, FLOAT64} First tensor Second tensor Postprocess plugin Sub module **Figure : GstBuffer workflow with qtimltflite** ## Inheritance chain [GObject](https://docs.gtk.org/gobject/) → [GstObject](https://gstreamer.freedesktop.org/documentation/gstreamer/gstobject.html?gi-language=c) → [GstElement](https://gstreamer.freedesktop.org/documentation/gstreamer/gstelement.html?gi-language=c) → [GstBaseTransform](https://gstreamer.freedesktop.org/documentation/base/gstbasetransform.html?gi-language=c) → GstMLTFLite The following tables provide information on pad templates and element properties of qtimltflite. For use cases, see [LiteRT use cases](https://docs.qualcomm.com/doc/80-70029-50/topic/tensorflow-lite-use-cases.html). ## Pad configuration | Pad Name | Capabilities | Capabilities | Capabilities | | --- | --- | --- | --- | | SINK template: 'sink'
| neural-network/tensors | type: | { (string)UINT8, (string)INT32, (string)FLOAT32 } | | SRC template: 'src'
| neural-network/tensors | type: | { (string)UINT8, (string)INT32, (string)FLOAT32 } | ## Element configuration Table : Element properties for qtimltflite | Property | Description | | --- | --- | | name | The name of the object.
| | parent | The parent of the object.
| | model | Model filename.
| | delegate | Delegate part or all graph execution to another executor.
| | threads | Number of threads when running operations on the CPU delegate.
| Last Published: Jun 03, 2026 [Previous Topic qtimlsnpe](https://docs.qualcomm.com/bundle/publicresource/80-70029-50/topics/qtimlsnpe.md) [Next Topic qtimlqnn](https://docs.qualcomm.com/bundle/publicresource/80-70029-50/topics/qtimlqnn.md) Source: [https://docs.qualcomm.com/doc/80-70029-50/topic/qtimltflite.html](https://docs.qualcomm.com/doc/80-70029-50/topic/qtimltflite.html)